Integrated phenology and climate in rice yields prediction using machine learning methods

Integrated phenology and climate in rice yields prediction using machine learning methods

Rice (Oryza sativa L.) is a staple cereal crop and its demand is substantially increasing with the growth of the global population. Precisely predicting rice yields are of vital importance to ensure the food security in countries like China, where rice accounts for one-fifth of the total agricultura...

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Auteurs principaux: Yahui Guo, Yongshuo Fu, Fanghua Hao, Xuan Zhang, Wenxiang Wu, Xiuliang Jin, Christopher Robin Bryant, J. Senthilnath
Format: article
Langue:EN
Publié: Elsevier 2021
Sujets:
Early mature rice
Machine learning (ML) methods
Multiple linear regression (MLR)
Rice yield prediction
Phenology
Ecology
QH540-549.5
Accès en ligne:https://doaj.org/article/681319c8e6d3410cbf182d64fffda8c6
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https://doaj.org/article/681319c8e6d3410cbf182d64fffda8c6

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